Analysis of surface performance measures on WEDM processed titanium alloy with coated electrodes

Muthuramalingam, T.; Ramamurthy, A. C.; Sridharan, Kumar; Ashwin, S.

doi:10.1088/2053-1591/aade70

Cited by 52 publications

(22 citation statements)

References 17 publications

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“…The first experiments were conducted on workpieces produced from easy-to-process conductive materials with a low melting point. Workpieces with dimensions of 200 × 20 × 16 mm of sorted and gauged corrosion-resistant, heat-resistant, and high-temperature steel of 12KH18N10T grade (analogue of AISI 321, specifications by interstate standard GOST 5949-75) [83, 84, 85, 86, 87, 88] and 200 × 16 × 16 mm of D16 aluminium alloy (AlCu4Mg1, analogue of AISI 2024) [89, 90, 91, 92, 93, 94] were used.…”

Section: Methodsmentioning

confidence: 99%

Electrical discharge machining of ceramic nanocomposites: sublimation phenomena and adaptive control

Grigoriev

Kozochkin

Porvatov

et al. 2019

Heliyon

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The productivity of electrical discharge machining (EDM) is relatively low owing to the natural laws of electrical erosion. Precise EDM demands uninterrupted control of the discharge gap and adjustment of process parameters. It is particularly critical for processing large workpieces with complex linear surfaces and for materials with threshold conductivities such as the new advanced ceramic nanocomposites Al2O3+TiC and Al2O3+SiCw+TiC(30–40%). In these cases, adequate flushing of erosion products is hampered by the geometry of the working space or by the small value of the required discharge gap, which does not exceed 2.2–2.5 μm. The methods of adaptive control in modern computer numerical control systems of EDM equipment based on measuring the electrical parameters in the working zone have been shown to be ineffective in the cases described above. This study aims to investigate the natural phenomena of material sublimation under discharge pulses for conductive ceramics and nanocomposites. The measured conductivities of the samples are higher than the percolation threshold. However, the question of machinability remains open owing to detected processing interruptions and poor quality of machined surfaces. New knowledge on EDM of conductive ceramics and nanocomposites can improve the final quality of the machined surfaces and productivity of the method by the introduction of advanced monitoring and control methods based on acoustic emissions. The manuscript presents an up-to-date overview and current state of the research on the subject area. The obtained morphology of the samples and discussion of the findings complete the experimental part of the study. The scientific basis for a new type of adaptive control system is provided. This can improve the effectiveness of parameter control for machining conductive ceramics and nanocomposites and contribute to an increase in the EDM performance for the most critical cases.

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Section: Methodsmentioning

confidence: 99%

Electrical discharge machining of ceramic nanocomposites: sublimation phenomena and adaptive control

Grigoriev

Kozochkin

Porvatov

et al. 2019

Heliyon

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“…In a recent study by Singh et al [16], a multi-pass WEDM was seen to be capable of reducing the surface roughness drastically for MWCNT alumina composites in comparison with a single pass. Muthuramalingam et al [38] observed that a diffused type of brass electrode produces better surface morphology in comparison with conventional brass wire or zinc coated electrodes. Reolon et al [39] concluded that zinc coated copper wire produces better surface integrity for WEDMed Inconel alloy IN718 in comparison with uncoated brass wire.…”

Section: Resultsmentioning

confidence: 99%

Modeling and Optimization of Fractal Dimension in Wire Electrical Discharge Machining of EN 31 Steel Using the ANN-GA Approach

et al. 2019

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To achieve enhanced surface characteristics in wire electrical discharge machining (WEDM), the present work reports the use of an artificial neural network (ANN) combined with a genetic algorithm (GA) for the correlation and optimization of WEDM process parameters. The parameters considered are the discharge current, voltage, pulse-on time, and pulse-off time, while the response is fractal dimension. The usefulness of fractal dimension to characterize a machined surface lies in the fact that it is independent of the resolution of the instrument or length scales. Experiments were carried out based on a rotatable central composite design. A feed-forward ANN architecture trained using the Levenberg-Marquardt (L-M) back-propagation algorithm has been used to model the complex relationship between WEDM process parameters and fractal dimension. After several trials, 4-3-3-1 neural network architecture has been found to predict the fractal dimension with reasonable accuracy, having an overall R-value of 0.97. Furthermore, the genetic algorithm (GA) has been used to predict the optimal combination of machining parameters to achieve a higher fractal dimension. The predicted optimal condition is seen to be in close agreement with experimental results. Scanning electron micrography of the machined surface reveals that the combined ANN-GA method can significantly improve the surface texture produced from WEDM by reducing the formation of re-solidified globules.

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“…In this study, Taguchi, AHP and TOPSIS techniques are combined to solve the problem, and the multi-objective decision by TOPSIS is made according to the diagram in Fig. 2 [28]. The Analytic Hierarchy Process (AHP) is a commonly used method to calculate the value of weights in multi-objective optimization problems.…”

Section: Methodsmentioning

confidence: 99%

Multi-Objective Decision Making For Z Coordinator and Overcut in µ - EDM process using Tungsten Carbide Electrode for machining of Titanium Alloy

Nguyen¹

2022

Journal of Machine Engineering

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Analysis of surface performance measures on WEDM processed titanium alloy with coated electrodes

Cited by 52 publications

References 17 publications

Electrical discharge machining of ceramic nanocomposites: sublimation phenomena and adaptive control

Electrical discharge machining of ceramic nanocomposites: sublimation phenomena and adaptive control

Modeling and Optimization of Fractal Dimension in Wire Electrical Discharge Machining of EN 31 Steel Using the ANN-GA Approach

Multi-Objective Decision Making For Z Coordinator and Overcut in µ - EDM process using Tungsten Carbide Electrode for machining of Titanium Alloy

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